Spots Global Cancer Trial Database for Clinical Significance of Computer Aided Image Analysis in Treatment Response Evaluation of Lung Cancer

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Trial Identification

Brief Title: Clinical Significance of Computer Aided Image Analysis in Treatment Response Evaluation of Lung Cancer

Official Title: Clinical Significance of Computer Aided Image Analysis in Treatment Response Evaluation of Lung Cancer

Study ID: NCT03954847

Conditions

Lung Cancer

Interventions

Study Description

Brief Summary: The investigators will evaluate the utility of computer aided image analysis in lung cancer with the aim of predicting treatment response and prognosis.

Detailed Description: Tumor biological behavior is the fundamental cause of heterogeneous prognosis. The features found on medical images are also reflections of the tumor biological behavior. However, the limitations in spatial and intensity resolution of the naked eye are two inevitable shortcomings of image interpretation by naked eyes, resulting in subjective and limited analyses of images. Computer aided image analyses such as radiomic analysis and machine learning methods are emerging as promising image interpretation methods. The natural advantage of the unlimited spatial and intensity resolution of computers can overcome the shortcomings of visual inspection with the naked eye. Moreover, the massive computing power of computer is also far greater than that of humans. This study will focus on the application of computer aided analysis in predicting treatment response and prognosis in lung cancer.